Abstract Conversational recommender system (CRS) needs to be seamlessly integrated between the two modules of recommendation and dialog, aiming recommend high-quality items users through multiple rounds interactive dialogs. Items can typically refer goods, movies, news, etc. Through this form express their preferences in real time, fully understand user’s thoughts corresponding items. Although ...